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Special feature scenecabinet/live!: realtime generation of semantic metadata combining media analysis and speech interface technologies.
| Content Provider | CiteSeerX |
|---|---|
| Author | Yamada, Tomokazu Kawazoe, Katsuhiko Kuwano, Hidetaka |
| Abstract | Reducing the cost of generating metadata would allow more broadcast contents to be transmitted with advanced TV viewing services available through the use of metadata. In this article, we describe SceneCabinet/Live!, a system that generates scene-based semantic metadata for video content in real time by combining media analysis and user interface technologies. The system provides an intuitive operation interface that lets the operator easily generate metadata by only speaking about the content while watching the replayed video. No keyboard input is required for this operation. Scene title, synopsis, and keywords can be obtained using natural language processing based on speech recognition results. Our speech recognition method obtains almost errorless results because it uses specific grammatical rules matched to the genre of video content. In an experiment, for a live baseball program broadcast, we confirmed that semantic metadata concerning scenes of home runs and skilful play could be generated in real time without any delay. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Realtime Generation Scenecabinet Live Special Feature Scenecabinet Live Advanced Tv Viewing Service Medium Analysis Scene Title Replayed Video Home Run Speech Interface Technology Broadcast Content User Interface Technology Live Baseball Program Broadcast Skilful Play Semantic Metadata Video Content Speech Recognition Method Natural Language Processing Scene-based Semantic Metadata Keyboard Input Speech Recognition Result Errorless Result Intuitive Operation Interface Real Time Specific Grammatical Rule Semantic Metadata Combining Medium Analysis |
| Content Type | Text |